Evidence map›Paper›PMID 34037331›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021

Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self-Powered Sensor Enhanced Soft Robotic Manipulator.

Zhongda Sun, Minglu Zhu, Zixuan Zhang, Zhaocong Chen, Qiongfeng Shi, Xuechuan Shan, Raye Chen Hua Yeow, Chengkuo Lee

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
16.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 260 citations in OpenAlex.

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  11. Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Zhongda SunDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Minglu ZhuDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Zixuan ZhangDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Zhaocong ChenDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Qiongfeng ShiDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Xuechuan ShanInstitute of Manufacturing Technology and National University of Singapore (SIMTech-NUS) Joint Lab on Large-Area Flexible Hybrid Electronics, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Raye Chen Hua YeowDepartment of Biomedical Engineering, National University of Singapore, #04-08, Engineering Block 4, 4 Engineering Drive 3, Singapore, 117583, Singapore.
Chengkuo LeeDepartment of Electrical & Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.ORCID 0000-0002-8886-3649
National University of Singapore · SGAgency for Science, Technology and Research · SG

Funding

Collaborative Research Project under the SIMTech-NUS Joint Laboratory, "SIMTech-NUS Joint Lab on Large-area Flexible Hybrid Electronics"National Key Research and Development Program of China 2019YFB2004800National Key Research and Development Program of China R-2020-S-002National Research FoundationSingapore under its AI Singapore Programme AISG Award No: AISG-GC-2019-002
6 · The paper itself

Abstract

Rapid advancements of artificial intelligence of things (AIoT) technology pave the way for developing a digital-twin-based remote interactive system for advanced robotic-enabled industrial automation and virtual shopping. The embedded multifunctional perception system is urged for better interaction and user experience. To realize such a system, a smart soft robotic manipulator is presented that consists of a triboelectric nanogenerator tactile (T-TENG) and length (L-TENG) sensor, as well as a poly(vinylidene fluoride) (PVDF) pyroelectric temperature sensor. With the aid of machine learning (ML) for data processing, the fusion of the T-TENG and L-TENG sensors can realize the automatic recognition of the grasped objects with the accuracy of 97.143% for 28 different shapes of objects, while the temperature distribution can also be obtained through the pyroelectric sensor. By leveraging the IoT and artificial intelligence (AI) analytics, a digital-twin-based virtual shop is successfully implemented to provide the users with real-time feedback about the details of the product. In general, by offering a more immersive experience in human-machine interactions, the proposed remote interactive system shows the great potential of being the advanced human-machine interface for the applications of the unmanned working space.

Indexed as

artificial intelligenceobject recognitionsoft manipulatortriboelectricvirtual/augmented reality

Identifiers

PMID34037331
PMCPMC8292889
OpenAlexW3164403436

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.